BIOENGINEER

New Feature-Selection Algorithm Predicts Aortic Calcification in Dialysis Patients

An enhanced kernel search optimizer paired with a support vector machine predicted abdominal aortic calcification in ...
BIOENGINEER

Machine Learning Flags Anxiety in Sudden Hearing Loss Patients, Study Finds

A retrospective single-center study found 62.5% of hospitalized adults with sudden sensorineural hearing loss met a screening ...

[G-Certification Day 8] What is Supervised Learning in AI? Linear Regression, SVM, and Decision Trees

Hello everyone, stay safe!! This is Takachan the engineer.AI that identifies spam, AI that predicts sales, AI that ...

Machine Learning with ChatGPT: Attempting Canon Short Selling with SVM

SVM, which can intelligently separate dataI read the following book the other day.“Gradually Understanding Machine Learning” ...
The Manila Times

Digital tools can guard PH’s vanishing mangroves

THE world’s coastal landscapes are at a critical turning point. As highlighted in The State of the World’s Mangroves 2026 ...
GitHub

Loan Approval Prediction using Support Vector Machine (SVM)

Loan approval is a critical decision for banks. Incorrect approvals may lead to financial loss while incorrect rejections may result in lost customers. SVM is effective for classification problems and ...
IEEE

A Hybrid CNN-SVM Algorithm for Detecting Manufacturing Defects

Abstract: In complex industrial manufacturing processes, various defects may occur in products because of the poor quality of the equipment, materials, and human factors. These defects may lead to ...
eeworldonline

Why inverter designers need to understand space vector modulation

Space vector modulation (SVM) is a sophisticated digital control technique that improves three-phase inverter performance over traditional sinusoidal PWM (SPWM). SVM’s higher DC bus utilization ...
Frontiers

A support vector machine-based tool for rapid pediatric asthma exacerbation risk assessment: development and nursing application

Childhood asthma poses a significant threat to pediatric health, and traditional assessment methods are often inadequate in efficiency and accuracy. This study aims to develop a rapid assessment tool ...
IEEE

Design of a Generic Fault Diagnosis Model for Electrical Distribution Networks Using a Support Vector Machine (SVM) Algorithm

Abstract: This article presents the design and implementation of a generic model for fault diagnosis in electrical distribution networks, based on the Support Vector Machine (SVM) algorithm. The ...